The invention discloses a traffic signal controller adaptive control method and device, a storage medium and an electronic device. The method comprises the following steps: performing multi-source data fusion and spatial-temporal position sensing graph convolution initialization on real-time traffic monitoring, historical traffic data, meteorological data and urban activity information data; a space-time position sensing graph convolutional network is adopted, geographical and time information is converted into mathematical vectors to construct a dynamic traffic flow prediction model, space-time relevance among traffic nodes is analyzed through the graph convolutional network, and the future traffic flow state is predicted; performing deep reinforcement learning and signal optimization; self-adaptive feedback and system iteration updating are carried out; monitoring and evaluating system performance; the problems that an existing traffic signal controller control method lacks real-time data comprehensive utilization capacity, dynamic traffic condition prediction is insufficient, and signal control strategy optimization is insufficient are solved.
本申请公开了一种交通信号机自适应控制方法、装置、存储介质及电子装置,所述方法包括:将实时交通监控、历史交通数据、气象数据和城市活动信息数据进行多源数据融合和时空位置感知图卷积初始化;采用时空位置感知图卷积网络,将地理和时间信息转换成数学向量构建动态交通流预测模型,通过图卷积网络分析各个交通节点之间的时空关联性,并预测未来的交通流动状态;深度强化学习与信号优化;自适应反馈与系统迭代更新;系统性能监控与评估;解决了现有交通信号机控制方法缺乏实时数据综合利用能力、动态交通状况预测不足、信号控制策略的优化不足等问题。
Adaptive control method and device for traffic signal controller, storage medium and electronic device
交通信号机自适应控制方法、装置、存储介质及电子装置
2025-01-24
Patent
Electronic Resource
Chinese
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